General Sessions – Keynote Speakers
General Manager of the Oakland Athletics
Moneyball: Lessons for Life & Business from Baseball’s Best GM
Billy Beane explores his innovative, winning approach to management and leadership. He explains how to win against companies that have bigger budgets, more manpower, and higher profiles by utilizing analytics to identify and re-purpose undervalued assets. Beane uses the powerful metaphor of baseball, but his genius lies in his ability to draw striking parallels to almost any industry. Beane’s inspiring tale, a modern day David vs. Goliath, is an unforgettable talk, a brilliant confluence of baseball and business success that teaches what it really takes to succeed “big” with limited resources
Director of Engineering, Google and leading futurist
The Acceleration of Technology in the 21st Century: Impacts on Healthcare and Medicine
We are now at a pivotal time in health technologies. With the collection of the genome in 2003 and the advent of techniques such as RNA interference that can actually turn off the genes that promote disease and aging, medicine has transformed itself into an information technology. As such, medicine is now subject to the “law of accelerating returns,” meaning that these technologies will be a thousand times more powerful than today in ten years, and a million times more powerful in 20 years. Up until recently, health interventions were hit or miss. We’d find something that seemed to work with only crude models of how they worked. Drug development was called “drug discovery,” basically finding things that worked rather than designing them. Today it is within our grasp to slow the aging process and take full advantage of advances in bio- and nanotechnology that have already begun and will be occurring at an accelerating pace in the years ahead. Ultimately, we will merge with our machines, vastly extending human health and longevity, and greatly increasing our intelligence.
Glenn D. Steele Jr, MD, PhD
President and CEO, Geisinger Health System
How Geisinger Uses Analytics to Transform Healthcare
James Merlino, MD
Chief Experience Officer, Cleveland Clinic
Using Data to Transform the Patient Experience
Governor Mike Leavitt
Founder and Chairman of Leavitt Partners and Former Secretary of the U.S. Department of Health and Human Services
Healthcare Reform 2.0: Anticipating What’s Next
In recent months, health care reform efforts have run into major roadblocks: there were numerous missteps and technical challenges with the health insurance exchange rollout and the federal government postponed the mandate that would have required all businesses with 50 or more employees to provide health insurance until 2015. As midterm elections approach the viability of the Affordable Care Act (ACA) will be challenged as Republicans continue to introduce repeal and replace measures and use the law against their Democrat counterparts. Furthermore, the results of the November elections could have a significant impact on how the law continues to be implemented (if at all). During this session, Gov. Mike Leavitt will discuss the future of the health care system and what Americans can expect to happen in the next 24 months.
Overview of the Healthcare Analytics Market (third-party analyst from The Advisory Board)
In this session, a senior market analyst will give an unbiased, third-party overview of the healthcare analytics market including market forces driving change and usage, big data, the role of analytics in population health and ACOs, payer/patient data and analytics, the evolution of costing data, future recommendations, and vendor rankings.
Building an Analytics Strategy Based on the Healthcare Analytics Adoption Model
The Healthcare Analytics Adoption model borrows lessons learned from the HIMSS EMR Adoption Model, and describes an analogous approach for assessing the adoption of analytics in healthcare. This 8-level model provides a framework for evaluating a health organization’s adoption of analytics, a roadmap for organizations to measure success, and a framework for evaluating vendor products. In this session we will also introduce a new analytics assessment tool that will help you identify the strengths and weaknesses of your current analytics system from a technical and organizational perspective, as well as a blueprint for how to move analytics forward in your organization.
Predictive and Suggestive Analytics
Make more informed decisions about adopting predictive analytics in healthcare so you can separate today’s hype from reality. In this session, we will cover topics such our fixation on predictive analytics in readmissions, the common trap of predictions without interventions, the common misconceptions of correlations verses causation, the importance of putting the basics first, and a more simple and pragmatic predictive analytics starting point called “suggestive analytics.” We will also participate in some predictive analytics examples using audience profile and behavior data.
Getting the Most Out of Your Data Analyst
Many analysts spend 90% of their time managing rather than analyzing data. How do we enable analysts to do what they were hired to do? In this session, you will learn best practices on helping your analyst focus more on analytics and less and data capture and provisioning, as well as how to create sustainable and meaningful analytics. We will best practices and common pitfalls to avoid. This will be a fun and interactive session with many hands-on examples and exercises.
Organizing for Analytics Success
Many organizations underestimate the need for organizational shifts and changes required for successful data-driven decision making. In this session, we will explain the three types of ongoing systems that are needed for sustainable analytics improvement and implementation. We will share best practices in how organizations can structure executive teams, clinical integration and guidance teams, and workgroup teams, as well as share examples of successes and setbacks when these principles are implemented or missed. We will also describe key roles and responsibilities and charters, show sample meeting agendas and recommended frequencies, and give you a set of tools that you can leverage for your initiatives.
How to Make Analytics a Strategic Imperative
Many individuals, teams, and healthcare leaders are catching the vision of the importance of moving to data-driven, systematic healthcare improvement. However some are frustrated with the inability to convey and influence executive leadership to adopt this as a strategic priority. In this session, we will invite two different health systems to share their experiences on how they made the case for analytics and data-driven healthcare to be an executive level initiative.
How to Drive Clinical Improvement Programs That Get Results
Getting accurate data does not improve care unless empowered teams are created with knowledge of how to apply the data. This session will focus on best practices in data-driven clinical improvements projects including recruiting the right cross-functional team, initial team training and kickoff, defining and selecting AIM statements, defining the right cohort, fixing data quality, identifying direct interventions, soliciting front line input, measuring baseline metrics, defining and rolling out intervention, and reviewing results and progress. This will be a fun, educational, and hands-on learning session using object lessons, mini-projects, and good/bad examples to demonstrate key principles.
Creating Physician Engagement
Getting physician buy-in and engagement is critical to any data-driven quality improvement initiative. This session will share key best practices in getting physician engagement including identifying and empowering physician leaders in key functional teams, compensating for leadership roles, educating and developing a common purpose, triad teamwork approaches, giving quick, easy, and responsive access to the right data to identify problems and make recommendations, and supporting and empowering physician-led recommendations.
Healthcare Transformation: A Better Way – Introduction to a Series of Hands-On Classes
This session is an overview and a kickoff for a follow on set of pragmatic, hands-on educational sessions directed at clinical and operational leaders who are involved in improving processes, reducing harm, designing and implementing new care delivery models, and undertaking the difficult task of leading meaningful change on the behalf of patients. The follow-on series can be either a set of interactive webinars, or in person classes in Salt Lake. Hands-on tools and concepts will be covered including: the anatomy of healthcare framework, basic concepts of healthcare quality improvement, evidence-based practices and comparative effectiveness research, understanding variation, understanding data types, key elements of organizational readiness, learning organizations, and the relationship between quality and cost. A new 250-page, Health Catalyst authored book will be given as a supplement to this class.
Breakthroughs in Healthcare Waste Reduction and Patient Safety
Multiple studies have estimated that at least 30% of US healthcare expenditures are wasteful. But how do you identify and reduce that waste? In this session, we will share with you a three-part framework for understanding, measuring and addressing waste reduction. In particular, we will highlight the importance patient safety and injury prevention, framing the importance of shifting from a system of incident reporting (which creates a culture of blame and guilt) to a system in which patient injury is regarded as a process failure rather than a person failure. To make that transition, health systems will need to 1) define process flows and metrics for each major type of patient injury; and 2) create a learning environment in which team members are engaged in process redesign to prevent process failure and injury. A leading health system in patient safety and quality will also share their best practices in how they have created a culture of patient safety and quality.
Key Principles and Approaches to Population Health Management
Population Health Management (PHM) is in its early stages of maturity, suffering from inconsistent definitions and understanding, and is overhyped by vendors and ill-defined by the industry. Healthcare IT vendors are labeling themselves with this new and popular term, and are quite often simply re-branding their old-school, fee-for-service, and encounter-based analytic solutions. Even the analysts —KLAS, Chilmark, IDC, and others—are having a difficult time classifying the market. This session will identify and define key criteria that any health system should consider when considering a population health management initiative. Then we will hear from two successful health systems — one a large health system and another a physician-led group on their different approaches to population health management.
Accountable Care Competencies For Organizations Taking on Shared Risk
Today in the healthcare industry there is as much confusion as there is interest in Population Health Management and Accountable Care. Identifying an Accountable Care solution set can be overwhelming unless you first understand the key building blocks and then define how they fit together into a meaningful solution. This session will go into depth about understanding Accountable Care. We will break it down into a Population Health Management component with 4 building blocks: 1) provider network 2) population 3) quality and safety outcomes, and 4) cost outcomes, combined with an Accountable Care financing and administration component. With a better understanding of these critical components, you will be better prepared to evaluate your current state and to identify and prioritize actions your organization needs to take.
Financial ROI Sessions
Getting a ROI Out of Your Healthcare Analytics Projects
Hospitals and healthcare systems need a systematic approach and tools to demonstrate ROI from their healthcare improvement projects. In this session, we will share a four-step process for demonstrating ROI: 1) define the project and business need, 2) begin to quantify ROI, 3) recruit, train and plan, and 4) evaluate costs, revenue and direct benefits. We will also distribute a Clinical Improvement Financial tool and an Executive Communications tool as a template for estimating, calculating and communicating your ROI results, and share best practices from a leading health system on how they are demonstrating ROI results.
The Imperative of Linking Clinical and Financial Data
Quality and cost improvements require the intelligent use of financial and clinical data coupled with education for multi-disciplinary teams who are driving process improvements. Once a data warehouse is established, healthcare organizations need to set up multi-disciplinary clinical, financial, and IT specialist teams to make the best use of the data. Sometimes, financial involvement is minimized or even excluded for a number of reasons that can turn out to be counterproductive. However, including financial measurements and participation up front can help enhance the recognized value and sustainability of quality improvement or waste reduction efforts. the In this session you will learn keys to success and real-life examples of linking clinical, financial and patient satisfaction data via multi-disciplinary teams that produce impressive results.
Health Catalyst Sessions (all are welcome)
Future Product Roadmap and New Product Demonstrations
Recently, Health Catalyst announced a $50M investment over the next two years in product development. The number of potential analytic applications supporting health systems needs is almost limitless. But we have to prioritize. In this session we will share our current and long-term potential product roadmap with the intent of getting your interactive feedback on our priorities. We will also share some of our newest products including some exciting co-development work with some of our health system partners.
Technical User Group Kickoff and Best Practices Sharing
In this session, we will kick off a technical user group. We will invite key health systems to share technical and analytical best practices and learnings and with question and answer audience follow up. We will discuss the user group function: how often this group would meet, proposed collaboration tools, and solicit your feedback on how this could best fit your needs.
Clinical User Group Kickoff and Best Practices Sharing
In this session, we will kick off a clinical user group. We will invite key health systems to share best clinical practices and learnings and with question and answer audience follow up. We will discuss the user group function: how often this group would meet, proposed collaboration tools, and solicit your feedback on how this could best fit your needs.